diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 97efd0bed..ddf78f9cc 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -1,3 +1,8 @@
+# Next release
+
+- [#866](https://github.com/IAMconsortium/pyam/pull/888) Support filtering by a `measurand` argument with tuples of
+  variable and units
+
 # Release v2.2.3
 
 Bump **ixmp4** minimum dependency to latest version and pin **numpy** to <2.0.
diff --git a/poetry.lock b/poetry.lock
index 879fee4aa..2c3292447 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -105,22 +105,22 @@ test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "24.1.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
-    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+    {file = "attrs-24.1.0-py3-none-any.whl", hash = "sha256:377b47448cb61fea38533f671fba0d0f8a96fd58facd4dc518e3dac9dbea0905"},
+    {file = "attrs-24.1.0.tar.gz", hash = "sha256:adbdec84af72d38be7628e353a09b6a6790d15cd71819f6e9d7b0faa8a125745"},
 ]
 
 [package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "autodocsumm"
@@ -202,17 +202,17 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
 
 [[package]]
 name = "boto3"
-version = "1.34.144"
+version = "1.34.153"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.144-py3-none-any.whl", hash = "sha256:b8433d481d50b68a0162c0379c0dd4aabfc3d1ad901800beb5b87815997511c1"},
-    {file = "boto3-1.34.144.tar.gz", hash = "sha256:2f3e88b10b8fcc5f6100a9d74cd28230edc9d4fa226d99dd40a3ab38ac213673"},
+    {file = "boto3-1.34.153-py3-none-any.whl", hash = "sha256:ff9af9206fb235605cb65922f9090fe60f78ea89b4adc463f8f6391b30a3df03"},
+    {file = "boto3-1.34.153.tar.gz", hash = "sha256:db9f2ac64582d847003a71720cd28dfffff61e2882e5d3db8e0c1fe1902ebb5b"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.144,<1.35.0"
+botocore = ">=1.34.153,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -221,13 +221,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.144"
+version = "1.34.153"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.144-py3-none-any.whl", hash = "sha256:a2cf26e1bf10d5917a2285e50257bc44e94a1d16574f282f3274f7a5d8d1f08b"},
-    {file = "botocore-1.34.144.tar.gz", hash = "sha256:4215db28d25309d59c99507f1f77df9089e5bebbad35f6e19c7c44ec5383a3e8"},
+    {file = "botocore-1.34.153-py3-none-any.whl", hash = "sha256:9fc2ad40be8c103ab9bfcb48b97b117d299d0b3a542cdd30134ee2935bee827a"},
+    {file = "botocore-1.34.153.tar.gz", hash = "sha256:1634a00f996cfff67f0fd4d0ddc436bc3318b2202dfd82ad0bc11c7169694092"},
 ]
 
 [package.dependencies]
@@ -552,63 +552,83 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.6.0"
+version = "7.6.1"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
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 version = "0.27.0"
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 ]
 
 [package.dependencies]
 mypy-extensions = ">=1.0.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = ">=4.1.0"
+typing-extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
@@ -2593,13 +2488,13 @@ type = ["mypy (>=1.8)"]
 
 [[package]]
 name = "plotly"
-version = "5.22.0"
+version = "5.23.0"
 description = "An open-source, interactive data visualization library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2784,13 +2679,13 @@ files = [
 
 [[package]]
 name = "pure-eval"
-version = "0.2.2"
+version = "0.2.3"
 description = "Safely evaluate AST nodes without side effects"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.extras]
@@ -2980,13 +2875,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-settings"
-version = "2.3.4"
+version = "2.4.0"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2994,6 +2889,7 @@ pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
 
 [package.extras]
+azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
@@ -3013,19 +2909,19 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyjwt"
-version = "2.8.0"
+version = "2.9.0"
 description = "JSON Web Token implementation in Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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-docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
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 tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
@@ -3055,13 +2951,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
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-version = "8.2.2"
+version = "8.3.2"
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@@ -3069,7 +2965,7 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
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 iniconfig = "*"
 packaging = "*"
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 cli = ["click (>=5.0)"]
 
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-
 [[package]]
 name = "pytz"
 version = "2024.1"
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 [[package]]
@@ -3792,13 +3699,13 @@ files = [
 
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+version = "7.4.7"
 description = "Python documentation generator"
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 pillow = "*"
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 [package.extras]
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 jupyterlite = ["jupyterlite-sphinx"]
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 recommender = ["numpy"]
 show-api-usage = ["graphviz"]
 show-memory = ["memory-profiler"]
 
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 ]
 
 [package.extras]
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+lint = ["mypy", "ruff (==0.5.5)", "types-docutils"]
 standalone = ["Sphinx (>=5)"]
 test = ["pytest"]
 
 [[package]]
 name = "sphinxcontrib-devhelp"
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 description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents"
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 standalone = ["Sphinx (>=5)"]
 test = ["pytest"]
 
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@@ -3910,33 +3820,33 @@ test = ["flake8", "mypy", "pytest"]
 
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 test = ["pytest"]
 
@@ -4134,13 +4044,13 @@ widechars = ["wcwidth"]
 
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-
 [[package]]
 name = "wquantiles"
 version = "0.6"
@@ -4783,4 +4455,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10, <3.13"
-content-hash = "3829401e6e72d265aa6129d9fe5cc926642e3f2c4db5d2b637ae4daf82e184ad"
+content-hash = "8ac7599160b392a668c6b8241cd224cb144fa994b79331f8a21cb493ec3838b5"
diff --git a/pyam/core.py b/pyam/core.py
index 096f5dbeb..27a3a3f57 100755
--- a/pyam/core.py
+++ b/pyam/core.py
@@ -31,7 +31,9 @@
 from pyam.compute import IamComputeAccessor
 from pyam.filter import (
     datetime_match,
+    filter_by_col,
     filter_by_dt_arg,
+    filter_by_measurand,
     filter_by_time_domain,
     filter_by_year,
 )
@@ -306,8 +308,8 @@ def print_meta_row(m, t, lst):
                 [
                     print_meta_row(m, t, self.meta[m].unique())
                     for m, t in zip(
-                    self.meta.columns[0:meta_rows], self.meta.dtypes[0:meta_rows]
-                )
+                        self.meta.columns[0:meta_rows], self.meta.dtypes[0:meta_rows]
+                    )
                 ]
             )
             # print `...` if more than `meta_rows` columns
@@ -1851,7 +1853,8 @@ def slice(self, *, keep=True, **kwargs):
         The following arguments are available for filtering:
 
          - 'model', 'scenario', 'region', 'variable', 'unit':
-           string or list of strings, where `*` can be used as a wildcard
+           string or list of strings
+         - 'measurand': a tuple (or list of tuples) of 'variable' and 'unit'
          - 'meta' columns: mapping of column name to allowed values
          - 'exclude': values of :attr:`exclude`
          - 'index': list of model, scenario 2-tuples or :class:`pandas.MultiIndex`
@@ -1865,6 +1868,8 @@ def slice(self, *, keep=True, **kwargs):
            ('month', 'hour', 'time')
          - 'regexp=True' disables pseudo-regexp syntax in `pattern_match()`
 
+        In any string filters, `*` is interpreted as wildcard.
+
         """
 
         _keep = self._apply_filters(**kwargs)
@@ -1929,6 +1934,9 @@ def _apply_filters(self, level=None, **filters):  # noqa: C901
         regexp = filters.pop("regexp", False)
         keep = np.ones(len(self), dtype=bool)
 
+        if "variable" in filters and "measurand" in filters:
+            raise ValueError("Filter by `variable` and `measurand` not supported")
+
         # filter by columns and list of values
         for col, values in filters.items():
             # treat `_apply_filters(col=None)` as no filter applied
@@ -1998,25 +2006,20 @@ def _apply_filters(self, level=None, **filters):  # noqa: C901
 
                 keep_col = datetime_match(self.get_data_column("time"), values)
 
-            elif col in self.dimensions:
-                levels, codes = get_index_levels_codes(self._data, col)
+            elif col == "measurand":
+                keep_col = filter_by_measurand(self._data, values, regexp, level)
 
-                matches = pattern_match(
-                    levels,
-                    values,
-                    regexp=regexp,
-                    level=level if col == "variable" else None,
-                    has_nan=True,
-                    return_codes=True,
-                )
-                keep_col = get_keep_col(codes, matches)
+            elif col in self.dimensions:
+                _level = level if col == "variable" else None
+                keep_col = filter_by_col(self._data, col, values, regexp, _level)
 
             else:
-                raise ValueError(f"Filter by `{col}` not supported!")
+                raise ValueError(f"Filter by `{col}` not supported")
 
             keep = np.logical_and(keep, keep_col)
 
-        if level is not None and "variable" not in filters:
+        if level is not None and not ("variable" in filters or "measurand" in filters):
+            # if level and variable/measurand is given, level-filter is applied there
             col = "variable"
             lvl_index, lvl_codes = get_index_levels_codes(self._data, col)
             matches = find_depth(lvl_index, level=level)
diff --git a/pyam/filter.py b/pyam/filter.py
index d63cfb1e5..4f8148571 100644
--- a/pyam/filter.py
+++ b/pyam/filter.py
@@ -4,8 +4,8 @@
 import numpy as np
 import pandas as pd
 
-from pyam.index import get_keep_col
-from pyam.utils import to_list
+from pyam.index import get_index_levels_codes, get_keep_col
+from pyam.utils import is_str, pattern_match, to_list
 
 FILTER_DATETIME_ATTRS = {
     "month": (["%b", "%B"], "tm_mon", "months"),
@@ -13,6 +13,35 @@
 }
 
 
+def filter_by_col(data, col, values, regexp, level=None):
+    levels, codes = get_index_levels_codes(data, col)
+    matches = pattern_match(
+        levels,
+        values,
+        regexp=regexp,
+        level=level,
+        has_nan=True,
+        return_codes=True,
+    )
+    return get_keep_col(codes, matches)
+
+
+def filter_by_measurand(data, values, regexp, level=None):
+    variable, unit = values
+    if is_str(variable) and is_str(unit):
+        return np.logical_and(
+            filter_by_col(data, "variable", variable, regexp, level),
+            filter_by_col(data, "unit", unit, regexp),
+        )
+    # values is an iterable of measurands
+    keep_col = np.zeros(len(data), dtype=bool)
+    for measurand in values:
+        keep_col = np.logical_or(
+            keep_col, filter_by_measurand(data, measurand, regexp, level)
+        )
+    return keep_col
+
+
 def filter_by_time_domain(values, levels, codes):
     """Internal implementation to filter by time domain"""
 
diff --git a/pyam/utils.py b/pyam/utils.py
index bd70ed8e9..4628a861f 100644
--- a/pyam/utils.py
+++ b/pyam/utils.py
@@ -27,7 +27,7 @@
 REQUIRED_COLS = ["region", "variable", "unit"]
 
 # illegal terms for data/meta column names to prevent attribute conflicts
-ILLEGAL_COLS = ["data", "meta", "level", "exclude", ""]
+ILLEGAL_COLS = ["data", "meta", "level", "exclude", "measurand", ""]
 
 # dictionary to translate column count to Excel column names
 NUMERIC_TO_STR = dict(
diff --git a/pyproject.toml b/pyproject.toml
index 848fe82bc..d4f7a5fdd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,7 +45,8 @@ classifiers = [
 python = ">=3.10, <3.13"
 iam-units = ">=2020.4.21"
 ixmp4 = ">=0.9.0"
-matplotlib = ">=3.6.0"
+matplotlib = ">=3.6.0, <=3.9.0"  # quickfix due to failing tests on Windows
+# see github.com/matplotlib/matplotlib/issues/28551
 numpy = ">=1.26.0, <2.0"
 openpyxl = ">=3.1.2"
 pandas = ">=2.1.2"
diff --git a/tests/test_core.py b/tests/test_core.py
index 90b3f456f..73a56e05a 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -431,14 +431,35 @@ def test_filter_empty_df():
     assert len(obs) == 0
 
 
-def test_filter_variable_and_depth(test_df):
-    obs = test_df.filter(variable="*rimary*C*", level=0).variable
+def test_variable_and_measurand_raises(test_df):
+    pytest.raises(ValueError, test_df.filter, variable="foo", measurand=("foo", "bar"))
+
+
+@pytest.mark.parametrize(
+    "filter_args",
+    (dict(variable="*rimary*C*"), dict(measurand=("*rimary*C*", "EJ/*"))),
+)
+def test_filter_variable_and_depth(test_df, filter_args):
+    obs = test_df.filter(**filter_args, level=0).variable
     assert obs == ["Primary Energy|Coal"]
 
-    obs = test_df.filter(variable="*rimary*C*", level=1).variable
+    obs = test_df.filter(**filter_args, level=1).variable
     assert obs == []
 
 
+def test_filter_measurand_list(test_df):
+    data = test_df.data
+    data.loc[4, "variable"] = "foo"
+    data.loc[5, "unit"] = "bar"
+    df = IamDataFrame(data)
+
+    obs = df.filter(measurand=(("foo", "EJ/yr"), ("Primary Energy", "bar")))
+
+    assert set(obs.variable) == {"Primary Energy", "foo"}
+    assert set(obs.unit) == {"EJ/yr", "bar"}
+    assert obs.scenario == ["scen_b"]
+
+
 def test_variable_depth_0_keep_false(test_df):
     obs = test_df.filter(level=0, keep=False).variable
     assert obs == ["Primary Energy|Coal"]
@@ -545,13 +566,13 @@ def test_meta_idx(test_df):
     assert len(_meta_idx(test_df.data)) == 2
 
 
-def test_filter_by_bool(test_df):
+def test_filter_meta_by_bool(test_df):
     test_df.set_meta([True, False], name="meta_bool")
     obs = test_df.filter(meta_bool=True)
     assert obs.scenario == ["scen_a"]
 
 
-def test_filter_by_int(test_df):
+def test_filter_meta_by_int(test_df):
     test_df.set_meta([1, 2], name="meta_int")
     obs = test_df.filter(meta_int=[1, 3])
     assert obs.scenario == ["scen_a"]
diff --git a/tests/test_feature_interpolate.py b/tests/test_feature_interpolate.py
index a852dee8e..260ea1806 100644
--- a/tests/test_feature_interpolate.py
+++ b/tests/test_feature_interpolate.py
@@ -38,7 +38,7 @@ def test_interpolate_with_list(test_df_year):
 
 
 def test_interpolate_with_numpy_list(test_df_year):
-    test_df_year.interpolate(np.r_[2007: 2008 + 1], inplace=True)
+    test_df_year.interpolate(np.r_[2007 : 2008 + 1], inplace=True)
     obs = test_df_year.filter(year=[2007, 2008])._data.values
     npt.assert_allclose(obs, [3, 4, 1.5, 2, 4, 5])